771 search results - page 16 / 155 » Markov Decision Processes with Arbitrary Reward Processes |
126
Voted
UAI
2000
15 years 3 months ago
2000
We consider decentralized control of Markov decision processes and give complexity bounds on the worst-case running time for algorithms that find optimal solutions. Generalization...
161
click to vote
AIPS
2011
14 years 5 months ago
2011
In this paper, we present a new algorithm that integrates recent advances in solving continuous bandit problems with sample-based rollout methods for planning in Markov Decision P...
134
click to vote
CORR
2008
Springer
15 years 1 months ago
2008
Springer
rexample Guided Abstraction-Refinement Framework for Markov Decision Processes ROHIT CHADHA and MAHESH VISWANATHAN Dept. of Computer Science, University of Illinois at Urbana-Champ...
105
Voted
ICML
2007
IEEE
16 years 2 months ago
2007
IEEE
Markov decision processes are an effective tool in modeling decision-making in uncertain dynamic environments. Since the parameters of these models are typically estimated from da...
111
click to vote
AAAI
2006
15 years 3 months ago
2006
This paper presents a novel framework for simultaneously learning representation and control in continuous Markov decision processes. Our approach builds on the framework of proto...